primeNumber Launches Next-Gen Composable CDP Solution 'prime Insight-First CDP' That Uses AI to Automatically Generate Customer Insights and Optimal Base Design Documents

primeNumber Inc., a data technology company that transforms data and AI into engines of corporate growth (Headquarters: Shinagawa-ku, Tokyo; CEO: Yuki Tanabe; hereinafter "primeNumber"), announces the launch of its composable Customer Data Platform (CDP) solution "prime Insight-First CDP," designed to maximize enterprise cloud data warehouse (DWH) utilization, starting June 29, 2026.

Background: Changing Consumer Society and Fragmented Data Utilization

Japan's domestic market is shrinking due to declining birthrates and aging population, labor shortages are straining store and logistics operations, and consumer behavior is diversifying rapidly due to the spread of social media and generative AI. The socioeconomic environment surrounding the retail and distribution industries is changing at an unprecedented pace.

Under these conditions, businesses must urgently maximize LTV (Customer Lifetime Value) by deeply understanding individual customer behavior changes and delivering personalized customer experiences—not just acquiring new customers. However, in reality, three major barriers have hindered companies from taking this crucial first step:

Rapid and complex diversification of consumer needs: While there is an urgent need to build systems that integrate and utilize massive data generated across growing touchpoints such as e-commerce, physical stores, apps, and social media, customer interests evolve daily, making it increasingly difficult to keep pace with their changing preferences and maintain the relevance of marketing initiatives.

Difficulty recruiting IT and marketing talent: There is a chronic shortage of skilled data professionals, and marketing teams—who need customer insights most—are often unable to analyze and utilize data independently.

High cost and long implementation timelines for CDPs: High licensing fees for packaged CDPs and prolonged requirement definition phases often result in implementation periods of six months to a year before any marketing impact is realized, making return on investment difficult to assess.

To structurally address these societal challenges, primeNumber has developed this new composable CDP solution.

Solution Overview: "prime Insight-First CDP"

"prime Insight-First CDP" is a next-generation CDP solution developed based on primeNumber's extensive expertise and product portfolio in data infrastructure. It maximizes enterprises' existing data infrastructure to swiftly overcome challenges of inadequate customer understanding and lack of IT/marketing talent, seamlessly supporting organizations in advancing and internalizing marketing data utilization. Key features include:

AI agents perform preliminary customer data analysis and automatically generate CDP design documents: The solution adopts an "insight-first" approach, where AI agents analyze available data and automatically generate optimal base CDP design documents.

(Benefit) Reduces construction costs by 20–40% and shortens implementation time by 30–50% compared to conventional methods, enabling marketing initiatives to begin in as little as two months.

No-code UI enables business users to operate independently: Provides an environment where marketing teams can handle data and execute campaigns without requiring specialized IT skills.

(Benefit) Eliminates dependency on IT personnel and enables internalization of data utilization across the organization.

Modular architecture allows flexible integration: Adopts an architecture that allows free selection and replacement of best-in-class tools for data collection, transformation, and activation.

(Benefit) Prevents vendor lock-in and enables phased system expansion aligned with business growth.

Seamless integration with existing DWH: Treats existing cloud DWHs such as Snowflake, BigQuery, and Databricks as the "single source of truth."

(Benefit) Eliminates data duplication (zero-copy) and requires no additional infrastructure investment.

Two-Phase Approach: AI Designs a Custom CDP for Each Company, Delivering Results in as Little as Two Months

The biggest bottleneck in traditional CDP implementation has been the prolonged requirement definition phase. Manually defining customer segments and prioritizing campaign hypotheses can take months of discussion, during which market conditions and consumer behaviors continue to evolve.

Major CDP vendors globally and domestically primarily use AI in the "operational phase" after CDP deployment—such as real-time analytics and predictive scoring on an already-running CDP. In contrast, "prime Insight-First CDP" applies AI in the earlier "implementation phase." Before CDP construction begins, AI agents perform preliminary analysis of customer data and automatically generate campaign hypotheses and CDP design documents. This approach represents a novel innovation in the CDP industry.

"prime Insight-First CDP" ensures tangible results through two distinct phases:

Phase 1 (1–2 months): AI analyzes customers and automatically generates an optimal CDP design document

AI agents automatically perform data profiling, RFM analysis, and clustering to visualize customer profiles. Based on the insights and derived campaign hypotheses, the system automatically generates a CDP base design document tailored to the specific enterprise, eliminating the need for lengthy manual requirement definition. By having AI interpret data before CDP construction, both design accuracy and speed are achieved simultaneously.

Phase 2 (1–2 months): Direct deployment of design documents into production, enabling immediate campaign execution

The design documents and SQL/Python code from Phase 1 are reused to rapidly build production environments using primeNumber's products "TROCCO" and "COMETA." By avoiding redundant requirement definition, companies can immediately begin cycles of audience segmentation, campaign delivery, and performance measurement.

This architecture fundamentally rethinks the traditional sequence of "CDP requirement definition and construction → customer data analysis → campaign execution," which previously took six months to a year. By using AI to analyze data and generate design documents upfront, CDP construction and customer understanding can proceed in parallel, enabling campaign execution in as little as two months after implementation.

Future Outlook

Going beyond merely providing data infrastructure, primeNumber aims to redefine data management norms and serve as a strategic partner in driving business transformation. In today's business environment, where rapid adaptation to external changes is critical, the newly launched composable CDP solution "prime Insight-First CDP" enables data and AI to autonomously generate insights, providing the shortest path to achieving "AI-native business growth."

This solution marks the first step in realizing "Generative Data Management (GDM)," primeNumber's vision for next-generation business management powered by data and AI. Through its unique services and methodologies, primeNumber will continue to free enterprises from manual, siloed data analysis and infrastructure management, supporting them from strategy formulation to implementation and full autonomy, leveraging data technology to solve diverse societal challenges and drive sustainable business growth.

What is Generative Data Management (GDM)?

GDM is a next-generation management methodology that leverages data and AI to autonomously adapt to changing external environments. In modern business, where geopolitical risks, rapid technological innovation, drastic shifts in customer behavior, and explosive data growth create complex, interwoven challenges, it is no longer feasible for humans alone to keep pace. GDM integrates AI directly into data management processes, enabling the infrastructure itself to autonomously expand and evolve—replacing manual, reactive efforts with intelligent, self-driving systems. primeNumber supports clients across the entire journey from strategic planning to implementation and full autonomy through its proprietary services and approaches.

URL: https://mkto.primenumber.com/gdm

What is Cloud ETL "TROCCO"?

"TROCCO" is a cloud ETL service adopted by over 2,500 companies and organizations. Beyond basic ETL (data extraction, transformation, loading) functionality, TROCCO includes features for data mart generation, workflow automation, and permission management—covering all essential aspects of data infrastructure setup and operations. TROCCO automates end-to-end data engineering processes, empowering organizations to maximize data utilization.

URL: https://primenumber.com/services/trocco/

What is the AI Data Platform "COMETA"?

COMETA is an AI-powered data platform that manages and visualizes data "semantics" (metadata), enabling comprehensive data curation. It empowers all users to freely explore data and create value. Using proprietary AI technology, COMETA dramatically streamlines metadata management tasks that were previously performed manually, ensuring sustained metadata quality and enabling every user to access trustworthy, reliable data.

URL: https://primenumber.com/services/cometa/

About primeNumber Inc.

primeNumber is a data technology company that transforms data and AI into engines of corporate growth. Centered on data technologies that enable AI-ready data infrastructure, the company supports AI-native business growth through comprehensive solution services.

Company Name

primeNumber Inc.

Representative

CEO Yuki Tanabe

Founded

November 2015

Office

5F, JR Tokyu Meguro Building, 3-1-1 Kamiohsaki, Shinagawa-ku, Tokyo 141-0021

Website

https://primenumber.com

Business Activities

- Development and operation of cloud ETL "TROCCO"

- Development and operation of AI data platform "COMETA"

- Provision of professional services to solve challenges in data technology domains

- Provision of agent-based AI solution "primeBusinessAgent"

Press Inquiries

primeNumber Inc.

PR Contact: Kobashigawa, Murashima

e-mail: [email protected]